{"uid":"cap_2tZpW29UFJmZ-82XkSlQM","slug":"data-reconciliation-record-quality-audit-string-normalisation-keyed-4c3929bc","name":"Data Reconciliation — Record Quality Audit + String Normalisation + Keyed Dataset Comparison","description":"Data reconciliation — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison for supplied data reconciliation records (source_total, target_total). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-207?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_total","target_total"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"target_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_total":10,"target_total":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_total":20,"target_total":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_total":15,"target_total":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_total":30,"target_total":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_total","target_total"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"target_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_total":10,"target_total":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_total":21,"target_total":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_total":17,"target_total":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_total":33,"target_total":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":0}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_JeQjkuIkn44d-yGEyj9Dj","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs three local analytical reports on supplied reconciliation data: record quality audit, string normalisation, and keyed dataset comparison between source and target totals across up to 200 rows.","exampleAgentPrompt":"Can you reconcile these two datasets and run all three reports — record quality audit, string normalisation, and keyed comparison — on my rows? The main dataset has entries like row-1 on 2025-01-01 with source_total 10 and target_total 1 in group-a, and I have a second dataset with slightly different values to compare against.","exampleUseCases":[{"title":"Financial period-end reconciliation check","prompt":"I have two sets of ledger totals for Q4 — the source system and the target system — with up to 150 rows keyed by date and account group. Can you run the record quality audit, string normalisation, and keyed dataset comparison to find where they diverge?"},{"title":"ETL pipeline output validation","prompt":"After running our ETL job, I have a rows array with source_total and target_total for each pipeline batch by date and group. Please audit record quality, normalise the strings, and compare the two datasets so I can see which batch keys have mismatches."},{"title":"Data migration discrepancy report","prompt":"We just migrated our database and I need to check if the migrated totals match the originals. I have up to 200 rows with row IDs, dataset groups, dates, and both source and target totals. Run all three reconciliation reports — quality audit, string normalisation, and keyed comparison — so I can see any problems."}],"resultDescription":"Three independent analytical reports returned for the supplied data: (1) a record quality audit highlighting completeness and anomalies, (2) a string normalisation report showing standardised field values, and (3) a keyed dataset comparison identifying rows where source_total and target_total diverge across the two supplied datasets. No external lookups or live data are involved — all analysis is performed locally on the submitted rows.","failureModes":["Submitting more than 200 rows causes rejection or truncation","Missing required fields (row_id, dataset_group, date, source_total, target_total) cause validation errors","Dates not matching YYYY-MM-DD pattern are rejected","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array (minItems:1 not met) returns an error","Mismatched row_ids between rows and other datasets may produce incomplete comparison report"],"whenToPreferThis":"Choose this endpoint when you have two keyed datasets with source and target numeric totals and need all three analytical outputs — quality audit, string normalisation, and keyed comparison — in a single call at low cost ($0.01 USDC). Best suited for batch reconciliation jobs of up to 200 rows where no external data lookup, live prediction, or third-party enrichment is required. Prefer alternatives if you need real-time data fetching, more than 200 rows, or only a single report type.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:42.216Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-record-quality-audit-string-normalisation-keyed-4c3929bc"}